prompt_tuning_11122024062940_sst2_text_origin_0_meta-llama-3.2-1b
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4209
- Exact Match: 0.44
- F1: 0.5172
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.3
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1 |
|---|---|---|---|---|---|
| 5.8399 | 1.0 | 7 | 1.4983 | 0.3 | 0.3396 |
| 0.4409 | 1.4286 | 10 | 0.4209 | 0.44 | 0.5172 |
Framework versions
- PEFT 0.13.2
- Transformers 4.47.0.dev0
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for kisejin/prompt_tuning_11122024062940_sst2_text_origin_0_meta-llama-3.2-1b
Base model
meta-llama/Llama-3.2-1B